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A cross-attention-based deep learning approach for predicting functional stroke outcomes using 4D CTP imaging and clinical metadata
A cross-attention-based deep learning approach for predicting functional stroke outcomes using 4D CTP imaging and clinical metadata
Summary
A cross-attention-based deep learning approach for predicting functional stroke outcomes using 4D CTP imaging and clinical metadata is a scholarly article[1].
Key Facts
A cross-attention-based deep learning approach for predicting functional stroke outcomes using 4D CTP imaging and clinical metadata's instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). A cross-attention-based deep learning approach for predicting functional stroke outcomes using 4D CTP imaging and clinical metadata. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-cross-attention-based-deep-learning-approach-for-predicting-functional-stroke-outcomes-using-4d-ctp-imaging-and-clinic
MLA“A cross-attention-based deep learning approach for predicting functional stroke outcomes using 4D CTP imaging and clinical metadata.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-cross-attention-based-deep-learning-approach-for-predicting-functional-stroke-outcomes-using-4d-ctp-imaging-and-clinic.
BibTeX@misc{4ortxyz_a-cross-attention-based-deep-learning-approach-for-predicting-functional-stroke-outcomes-using-4d-ctp-imaging-and-clinic_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A cross-attention-based deep learning approach for predicting functional stroke outcomes using 4D CTP imaging and clinical metadata}}, year = {2026}, url = {https://4ort.xyz/entity/a-cross-attention-based-deep-learning-approach-for-predicting-functional-stroke-outcomes-using-4d-ctp-imaging-and-clinic}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A cross-attention-based deep learning approach for predicting functional stroke outcomes using 4D CTP imaging and clinical metadata — https://4ort.xyz/entity/a-cross-attention-based-deep-learning-approach-for-predicting-functional-stroke-outcomes-using-4d-ctp-imaging-and-clinic (retrieved 2026-05-24)
